Traditional pharmaceutical analytics implementations take six months and multiple consultants.
Six months of workshops. Six months of requirements gathering. Six months of change management. Six months before anyone knows if the investment will deliver value.
That timeline doesn’t work for most commercial teams.
A different approach
We start with understanding what you actually need to see. Not reinventing processes. Not building comprehensive platforms before proving value.
The focus areas are straightforward:
- Sales territory performance
- Rep activity patterns
- Pharmacy network inventory
- Customer churn analysis
These questions can be answered quickly with existing data.
The R1 million example
One client uncovered R1 million in lost revenue from pharmacy customers who had ceased ordering.
Not after six months of implementation. Within weeks.
The insight was sitting in their sales data. No one had surfaced it because the analytics infrastructure was designed for comprehensive reporting, not rapid discovery.
Fast proof over long proposals
We use existing sales data and territory structures to surface actionable insights. Clients decide whether to continue based on demonstrated results.
The philosophy is simple: fast proof beats long proposals.
Show value first. Expand scope later.
If we can’t demonstrate meaningful insight from your current data quickly, why would a six-month implementation be any different?
The question for commercial leaders
What’s sitting in your sales data right now that no one has surfaced?
Which customers stopped ordering that you haven’t noticed?
Which territories are underperforming for reasons no one has diagnosed?
The answers might be closer than you think.
Written by
Wimpie du Toit
CTO & Founder at Herbst Group. Working with pharmaceutical commercial leaders across South Africa, Kenya, and Brazil to transform sales force effectiveness through evidence-based approaches.
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